Image denoising by bounded block matching and 3D filtering

10 years 4 months ago
Image denoising by bounded block matching and 3D filtering
The block-matching with 3D transform domain collaborative filtering (BM3D) achieves very good performance in image denoising. However, BM3D becomes ineffective when an image is heavily contaminated by noise. This is because it allows block-matching to search out of the region where a template block is located, resulting in poor matching. To address this, this paper proposes a bounded BM3D scheme. The novelty of our bounded BM3D is twofolded. First, our scheme partitions an image into multiple regions, and identifies the boundaries between regions. And we restrict block matching search within the region of the template block. Second, to prevent important geometric features such as edges from being removed by collaborative filtering in BM3D, we do partial block matching for different block coherent segments which belong to different regions. Compared to BM3D, the proposed bounded
Qian Chen, Dapeng Wu
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Authors Qian Chen, Dapeng Wu
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